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. 2022 Nov 16;29(2):197–217. doi: 10.1093/humupd/dmac038

Contraceptives and cancer risks in BRCA1/2 pathogenic variant carriers: a systematic review and meta-analysis

Majke H D van Bommel 1,, Joanna IntHout 2, Guus Veldmate 3, C Marleen Kets 4, Joanne A de Hullu 5, Anne M van Altena 6, Marline G Harmsen 7
PMCID: PMC9976973  PMID: 36383189

Abstract

BACKGROUND

Increasing numbers of BReast CAncer (BRCA) 1 or 2 pathogenic variant (PV) carriers, who have an inherited predisposition to breast and ovarian cancer, are being identified. Among these women, data regarding the effects of contraception on cancer risks are unclear and various guidelines provide various recommendations.

OBJECTIVE AND RATIONALE

We aim to optimize counselling regarding contraception for BRCA1/2-PV carriers. Therefore, we performed a systematic review and meta-analysis. We investigated the risk ratio for developing breast cancer or ovarian cancer in BRCA1/2-PV carriers who have used any form of contraception versus non-users. Second, we analysed breast and ovarian cancer risk among BRCA1/2-PV carriers as influenced by the duration of contraceptive use and by the time since last use. In addition, we provide an overview of all relevant international guidelines regarding contraceptive use for BRCA1/2-PV carriers.

SEARCH METHODS

A systematic search in the Medline database and Cochrane library identified studies describing breast and/or ovarian cancer risk in BRCA1/2-PV carriers as modified by contraception until June 2021. The search included medical subject headings, keywords and synonyms related to BRCA and contraceptives (any kind). PRISMA guidance was followed. Risk Of Bias In Non-randomized Studies of Interventions and Grading of Recommendations, Assessment, Development and Evaluations assessments were performed. Random-effects meta-analyses were used to estimate pooled effects for breast and ovarian cancer risk separately. Subgroup analyses were conducted for BRCA1 versus BRCA2 and for the various contraceptive methods.

OUTCOMES

Results of the breast cancer risk with oral contraceptive pill (OCP) analysis depended on the outcome measure. Meta-analyses of seven studies with 7525 women revealed a hazard ratio (HR) of 1.55 (95% CI: 1.36–1.76) and of four studies including 9106 women resulted in an odds ratio (OR) of 1.06 (95% CI: 0.90–1.25), heterogeneity (I2) 0% and 52%, respectively. Breast cancer risk was still increased in ever-users compared with never-users >10 years after last OCP use. In contrast, ovarian cancer risk was decreased among OCP users: HR 0.62 (95% CI: 0.52–0.74) based on two studies including 10 981 women (I2: 0%), and OR 0.49 (95% CI: 0.38–0.63) based on eight studies including 10 390 women (I2: 64%). The protective effect vanished after cessation of use. Tubal ligation also protects against ovarian cancer: one study including 3319 women (I2: 0%): HR: 0.44 (95% CI: 0.26–0.74) and three studies with 7691 women (I2: 44%): OR: 0.74 (95% CI: 0.53–1.03). Data regarding other contraceptives were unavailable. No differences were observed between BRCA1 and BRCA2-PV carriers. The quality of evidence was either low or very low.

WIDER IMPLICATIONS

The OCP potentially increases breast cancer risk, while ovarian cancer risk decreases with either the OCP and tubal ligation in BRCA1/2-PV carriers. Counselling of BRCA1/2-PV carriers should be personalized; the genetic and non-genetic factors (like prior risk-reducing surgeries, prior breast cancer and age) and patients’ preferences (reversibility, ease of use, reliability and effect on menstrual cycle) should be balanced. To further optimize counselling for high-risk women, future research should focus on other (commonly used) contraceptive methods and cancer risks in this specific population, and on the potential impact of changing formulations over time.

Keywords: ovarian cancer, breast cancer, BRCA1 gene, BRCA2 gene, contraception, oral contraceptive pill, tubal ligation

Graphical Abstract

Graphical Abstract.

Graphical Abstract

Contraceptives and cancer risks in BRCA1/2 pathogenic variant carriers: a systematic review and meta-analysis.

Introduction

Female BReast CAncer (BRCA) 1 or BRCA2 pathogenic variant (BRCA1/2-PV) carriers have an increased risk of breast and ovarian cancer, estimated to be ∼70% for breast cancer and 44% and 17% for ovarian cancer, respectively, by the age of 80 years (Kuchenbaecker et al., 2017). To manage these risks, timely risk-reducing salpingo-oophorectomy and either annual screening of the breasts or a risk-reducing mastectomy are recommended (IntegraalKankercentrumNederland, 2017).

Besides genetic risk factors, multiple other factors, both endogenous and exogenous, have been shown to modify cancer risks. The use of contraceptives is one of the most well-known factors. In the general population, the use of the oral contraceptive pill (OCP), which is the most frequently used hormonal contraceptive (Central Bureau for Statistics, 2013), and its effect on cancer risks are well established. While breast cancer risk is increased by OCP use (relative risk (RR): 1.20 (95% CI: 1.14–1.26)), the ovarian cancer risk decreases (odds ratio (OR): 0.73 (95% CI: 0.66–0.81)) (Havrilesky et al., 2013; Mørch et al., 2017). The impact of OCP on breast cancer risk depends on the duration of use and the types of hormones used (Mørch et al., 2017). A similar effect was observed for the levonorgestrel-releasing intra-uterine device (LR-IUD), an increasingly popular type of hormonal contraception (Central Bureau for Statistics, 2013); in a meta-analysis, breast cancer risk was found to be higher (OR: 1.12 (95% CI: 1.02–1.22)) among LR-IUD users (Conz et al., 2020), while ovarian cancer risk decreased (OR: 0.58 (95% CI: 0.47–0.71)) compared to non-users (Balayla et al., 2021). Sterilization is the most frequently applied non-hormonal contraceptive method (Dietl et al., 2011). Female sterilization was found to reduce ovarian cancer risk: salpingectomy reduced the risk by 42–65% (Falconer et al., 2015; Madsen et al., 2015; van Lieshout et al., 2021), while fallopian tube occlusion resulted in a hazard ratio (HR) of 0.72 (95% CI: 0.64–0.81) relative to the ovarian cancer risk of people who had not undergone this procedure (Falconer et al., 2015).

To adequately counsel BRCA1/2-PV carriers, data regarding the association between various contraceptives and cancer risks in these women as a population are needed. This is particularly important due to the increasing numbers of BRCA1/2-PV families being identified because of universal genetic tumour testing in ovarian cancer patients (Vos et al., 2020). As a result, family members may discover their inherited risks at younger age, potentially increasing the need for contraceptive advice earlier in life.

Due to the lack of sufficient and uniform data, most guidelines advise (individualized) counselling about cancer risks when discussing contraception with BRCA1/2-PV carriers; however, different guidelines provide various recommendations. The discrepancies between the guidelines and the contradictory effects of contraceptives on cancer risks highlight the need for a re-evaluation of the current literature. Here, we aim to investigate the influence of contraceptives on breast and ovarian cancer risk in BRCA1/2-PV carriers, and to providing an overview of all relevant guidelines. In this manuscript, we use the term ‘ovarian cancer’, which covers malignancies of the fallopian tubes, ovaries and peritoneum, which are, today, considered to be one entity.

Methods

Search strategy and selection criteria

The Medline database and the Cochrane Library were systematically searched in consultation with a medical librarian. The search included medical subject headings, keywords and synonyms related to BRCA and contraceptives (any kind). There were no restrictions on article type, publication date or any other characteristic. Any study published before 23 June 2021 was included in the search. Studies reporting on contraception in BRCA1/2-PV carriers and their association with cancer risk(s) were considered eligible for inclusion. Studies were excluded when the study population did not include BRCA1/2-PV carriers, when the outcome measures did not include cancer risks, when the full text was unavailable in English or Dutch or when the study did not include primary data (e.g. reviews, meta-analysis, opinion letters, letters to editors). Additionally, we manually reviewed references and citation lists for all reviews and meta-analyses to check whether all relevant studies were included. After deduplication, all studies meeting the search criteria were screened by two independent researchers (M.H.D.v.B. and G.V.) using the title and abstract, and, afterwards, based on the full text using Covidence®. Discrepancies of opinion regarding the potential relevance of a study were resolved by discussion or by consultation of a third reviewer (M.G.H.). The full search strategy is provided in Supplementary Data File S1.

In addition to the systematic review, we searched for relevant guidelines regarding contraceptive use among BRCA1/2-PV carriers. We consulted all national societies of obstetricians and gynaecologists listed on the website of the International Federation of Gynaecology and Obstetrics (FIGO) (1954) (https://www.figo.org/figos-member-societies). Societies were included if their country of origin was marked as a ‘developed economy’, as defined by the United Nations, in order to ensure homogeneity across the healthcare systems (UnitedNations, 2020). The websites of the included societies were searched for guidelines on ‘contraception’ or ‘BRCA’ or ‘genetic/familial/hereditary predisposition for ovarian cancer’. Guidelines were included if written in English or Dutch and if information was provided regarding contraception use by BRCA1/2-PV carriers. If a guideline was not found, we searched for corresponding statements embedded in other guidelines published by the respective society.

Risk of bias and quality assessment

A risk of bias assessment was conducted to score the eligible studies on methodological quality using the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) questionnaire (Sterne et al., 2016). Studies were evaluated as having a ‘low’, ‘moderate’, ‘serious’, ‘critical’ or ‘unclear’ risk of bias based on seven domains: confounding, selection of participants, classification of intervention, deviations from intended interventions, missing outcome data, measurement of the outcome and selection of the reported result. To evaluate the quality of evidence per outcome measure, we used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework (Guyatt et al., 2008).

Data extraction

Data extraction was executed using a data-extraction form consisting of predefined topics: bibliographical data, population characteristics, methodology and study outcomes. Data extraction was performed by M.H.D.v.B. and cross-checked by G.V. In cases where the data were incompletely described in an article, we contacted the corresponding author to request the data. In cases with more than one cohort described in a study (Schrijver et al., 2018, 2021), we either included the full cohort in this meta-analysis (Schrijver et al., 2021) to be as consistent as possible with the other studies, or we included the prospective cohort when the data could not be extracted for each cohort separately (Schrijver et al., 2018).

Outcomes and statistical analysis

The primary aim was to estimate the risk ratio for developing breast cancer or ovarian cancer in BRCA1/2-PV carriers who have used any form of contraception versus BRCA1/2-PV carriers who have not. Our secondary analyses aimed to investigate the breast and ovarian cancer risks among BRCA1/2-PV carriers as influenced by the duration of contraceptive use and by the time since last use.

Random-effects meta-analyses were conducted to estimate the pooled effects: for the risk of developing breast cancer and for the risk of developing ovarian cancer. Data on cancer risk after hysterectomy or bilateral salpingo-oophorectomy were excluded from the meta-analysis as these surgeries are not primarily indicated for contraception. Meta-analyses were performed per outcome measure, meaning separately for ORs and HRs. Whereas a HR takes account of time (the hazard presents an instant risk during a period), an OR does not (the odds represent the cumulative risk until a defined endpoint), meaning those measures cannot usually be analysed collectively. Heterogeneity across studies was evaluated using the I2 statistic (<25%: low, 25–75%: moderate, >75%: high), the τ2 (Higgins et al., 2003), and the prediction interval (IntHout et al., 2016). Subgroup analyses for BRCA1 versus BRCA2 and for various contraceptive methods were conducted. To evaluate the potential effect of changing OCP formulations over time on cancer risks, we performed additional analyses with studies published in the last 10 years versus studies published more than 10 years ago because we expected OCP formulations to be insufficiently specified in the individual studies. The secondary objectives ‘duration of use’ and ‘time since last use’ were analysed using a meta-analysis when at least two studies had data available (like the primary outcomes) and when the studies had similarly defined their time periods. If both criteria were not met, these outcome measures were instead analysed descriptively. All analyses were performed in the statistical software R version 3.6.2 using the package ‘meta’ (version 4.18-0) (R, 2021). The meta-analysis used the inverse variance method, the restricted maximum-likelihood estimator for τ2 and the Q-profile method for the CI of τ2.

Results

Study selection

Our search yielded 447 potentially relevant studies, of which 327 were excluded based on the title and abstract and another 100 were excluded after reading the full text. Consequently, 20 studies met the eligibility criteria (Moher et al., 2009) (Fig. 1 and Table I). Of these, 10 investigated breast cancer risk, 9 evaluated ovarian cancer risk and 1 evaluated both breast and ovarian cancer risk. In total, 11 studies were included in the meta-analysis of breast cancer risk (Heimdal et al., 2002; Narod et al., 2002; Gronwald et al., 2006; Haile et al., 2006; Brohet et al., 2007; Bernholtz et al., 2011; Kotsopoulos et al., 2014; Rieder et al., 2016; Park et al., 2017; Toss et al., 2017; Schrijver et al., 2018) and 10 studies were included in the analysis of ovarian cancer risk (Narod et al., 1998, 2001; Whittemore et al., 2004; Gronwald et al., 2006; Antoniou et al., 2009; Vicus et al., 2010a; Ferris et al., 2014; Kotsopoulos et al., 2015; Perri et al., 2015; Schrijver et al., 2021), as modified by contraceptive use.

Figure 1.

Figure 1.

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow chart of study selection.

Table I.

Details of included studies.

Study characteristics
Study population
Statistics
First author, year Country Study design Inclusion criteria Study cohort N BRCA-PV (BRCA1 – BRCA2 – BRCA1 + 2) Inclusion period Age (years) Birth year Contraceptive method Calendar year at start use Formulation of OCP Reference group Follow-up period Statistical analysis Risk ratio Risk of bias
Studies investigating breast cancer risk

Heimdal, 2002 Norway Matched case–control BRCA1 mutation carriers with (cases) or relatives without (controls) breast cancer aged 40–60 years NA 98 98—0—0 1989–2000 40–60 >1940 Oral contraception Unknown Estrogen + progestin Never or <3 months use BRCA testing—breast cancer/interview Cox proportional hazards model HR Moderate
Narod, 2002 Canada* Matched case–control BRCA1/2 mutation carriers with (cases) or without (controls) breast cancer Unknown 2622 1962—660—0 1977–2001 Mean cases/controls: 46/47 (SD 10/10) 1925–1980 Oral contraception Unknown Unknown Never use Birth—interview (between 1977 and 2001, mean age at interview 47 years) Conditional logistic regression OR Moderate
Haile, 2006 USA* Case–control BRCA1/2 mutation carriers with (cases) or relatives without (controls) a first primary invasive breast cancer, aged < 50 years BCFR, kConFab and Ontario Cancer Genetics Network 804 497—307—0 Unknown <30–49 >1940 Oral contraception Unknown Unknown Never or <1 year use Birth—breast cancer/RRO/RRM/interview/in situ breast cancer Unconditional logistic regression OR Moderate
Brohet, 2007 The Nether-lands* Retrospective cohort BRCA1/2 mutation carriers IBCCS 1593 1181—412—0 After 1997 19–74 >1920 Oral contraception Unknown Unknown Never use Birth—age of first primary breast cancer (median 41 years) Weighted Cox regression HR Moderate
Bernholtz, 2011 Israel Retrospective case-only Jewish BRCA1/2 mutation carriers NA 888 638—250—0 1996–2010 19–90 Unknown Oral contraception Unknown Unknown Never use BRCA testing—age at breast cancer (mean age at breast cancer 50 years) Logistic regression HR Moderate
Kotsopoulos, 2014 Canada* Matched case–control BRCA1 mutation carriers with (cases) or without (controls) invasive breast cancer Hereditary Breast Cancer Clinical Study Group 4984 4984—0—0 Unknown Mean 46 (SD 9) >1925 (mean 1958) Oral contraception (for birth control) Unknown Unknown Never use Birth—questionnaire Conditional logistic regression OR Moderate
Rieder, 2016 Austria Retrospective cohort BRCA1/2 mutation carriers with breast cancer NA 366 258—108—0 1995–2013 Mean around 40 years Median 1965 Oral contraception Unknown Unknown Never use Birth—breast cancer Uni- and multivariate Cox regression HR Serious
Park, 2017 Korea Retrospective cohort East-Asian BRCA1/2 mutation carriers with breast cancer and their family members KOHBRA 581 222—359—0 2007–2014 18–70+ (mean 40 years) Unknown Oral contraception Unknown Unknown Never use Birth—breast cancer/interview Weighted multivariate Cox proportional hazard regression model HR Moderate
Toss, 2017 Italy Retrospective cohort BRCA1/2 mutation carriers NA 113 64—49—0 2010–2016 17–92 (mean age: 51, SD: 14) Unknown Combined hormonal contraceptives Unknown Combined Never use Birth—age 60 Cox proportional hazard regression HR Serious
Schrijver, 2018 The Nether-lands* Prospective cohort BRCA1/2 mutation carriers IBCCS, kConFab, BCFR 3886 2276—1610—0 End follow-up: 2012 Mean around 40 years 1920-1992 Oral contraception Before or after 1975 Unknown Never or <6 months use Recruitment/genetic testing—cancer/RRM/death/age 80/last follow-up (mean duration 5 years) Time-dependent Cox proportional hazards regression models HR Moderate
Studies investigating breast and ovarian cancer risk

Gronwald, 2006 Poland Matched case–control Polish founder BRCA1/2 mutation carriers with (cases) or without (controls) breast or ovarian cancer NA BC: 696 OC: 300 996—0—0 After 1998 22–81 1917–1989 (mean 1956) Oral contraception Unknown Unknown Never use At time of BRCA diagnosis—Mean age at breast/ovarian cancer: 44/49 years Conditional logistic regression OR Unclear

Studies investigating ovarian cancer risk

Narod, 1998 Canada* Matched case–control BRCA1/2 mutation carriers with (cases) or sisters without (controls) invasive epithelial ovarian cancer Hereditary Ovarian Cancer Clinical Study Group 260 229—31—0 Unknown patients: mean 54 (SD 8), controls: mean 52 (SD 8) 1925-1960 Oral contraception Unknown Unknown Never use Birth—interview Unconditional logistic regression OR Moderate
Narod, 2001 Canada* Matched case–control BRCA1/2 mutation carriers with (cases) or without (controls) invasive ovarian cancer, borderline carcinomas excluded Hereditary Ovarian Cancer Clinical Study Group 464 346—118—0 Unknown at diagnosis: 24-81 unknown Oral contraception, tubal ligation (not specified) Unknown Unknown Never use, no tubal ligation Birth—questionnaire Conditional logistic regression OR Serious
Whittemore, 2004 USA* Matched case–control BRCA1/2 mutation carriers with (cases) or without (controls) primary invasive epithelial ovarian cancer UKCCCR, kConFab, GRFOCR, Risk Assessment Program, BCRF 451 339—112—0 Unknown most diagnosis 40-60 most > 1930 Oral contraception Unknown Unknown Never or <1 year use Birth—ovarian cancer/RRSO/interview Conditional logistic regression OR Moderate
Antoniou, 2009 UK* Retrospective cohort BRCA1/2 mutation carriers IBCCS 3319 2281—1038—0 1997–2005 at interview mean 46.5 (SD 12.1) from <1940 up until ≥1965 Oral contraception, tubal ligation (not specified) 56% < 1975 44% ≥ 1975 Unknown Never use, no tubal ligation Birth—breast/ovarian/other cancer diagnosis/RRSO/interview (median 41 years) Cox proportional hazards framework HR Moderate
Vicus, 2010a Canada Matched case–control BRCA1/2 mutation carriers with (cases) or without (controls) fallopian tube cancer NA 661 661—0—0 1990–1999 and 2002–2004 at diagnosis: 38-76 1918–1965 Oral contraception, tubal ligation (not specified) Unknown Unknown Never use, no tubal ligation Birth—fallopian tube cancer/RRSO/hysterectomy/questionnaire Uni- and multivariate conditional logistic regression OR Serious
Ferris, 2014 USA Case–control BRCA1/2 mutation carriers with breast cancer at young age or breast and ovarian cancer (cases) or with multiple affected relatives (controls) BCFR 639 Unknown After 1995 mean cases 51.9 (SD 12.3), controls 47.9 (SD 16.0) Unknown Oral contraception Unknown Unknown Never use Birth—questionnaire Within-family conditional logistic regression model OR Moderate
Kotsopoulos, 2015 Canada* Matched case–control BRCA1/2 mutation carriers with (cases) or without (controls) invasive epithelial ovarian cancer Hereditary Breast Cancer Clinical Study Group 6596 5386—1180—3 Unknown 26–85 1913–1982 (mean 1949) Oral contraception (for birth control), tubal ligation (fallopian tubes tied) Unknown Unknown Never use, no tubal ligation Birth—interview (mean age at interview 54 years) Conditional logistic regression OR Moderate
Perri, 2015 Israel Historical prospective cohort Jewish founder BRCA1/2 mutation carriers NA 1073 718—331—3 (21 unknown) 1995–2011, data update until 2013 20–93, mean 50 years Unknown Oral contraception Unknown Unknown Never use BRCA diagnosis—ovarian cancer/RRSO/death (2–18 years) Unconditional logistic regression OR Moderate
Schrijver, 2021 The Nether-lands* Retrospective cohort BRCA1/2 mutation carriers IBCCS 7662 4818—2844—0 End follow-up: 2012 Overall means 40–57 years 1920–1980 Oral contraception Before or after 1975 Unknown Never or <6 months use Birth—ovarian cancer/RRSO/genetic testing/questionnaire (duration mean 40–55 years) Time-dependent Cox proportional hazards regression models HR Moderate
*

International study set up.

BC: breast cancer; BCFR: breast cancer family registry; BRCA-PV: BRCA pathogenic variant; GRFOCR: Gilda Radner Familial Ovarian Cancer Registry; HR: hazard ratio; IBCCS: International BRCA1/2 Carrier Cohort Study; kConFab: Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer; KOHBRA: Korean Hereditary breast cancer study; N: number; NA: not applicable; not specified: no information available whether this includes salpingectomy as a contraceptive procedure; OC: ovarian cancer; OCP: oral contraceptive pill; OR: odds ratio; RRM: risk-reducing mastectomy; RRO: risk-reducing oophorectomy; RRSO: risk-reducing salpingo-oophorectomy; SD: standard deviation; UKCCCR: United Kingdom Consortium for Clinical Cancer Research.

Risk of bias has been assessed using the ROBINS-I questionnaire.

Study characteristics

The study characteristics of the 20 included studies are presented in Table I. In total, 38 056 BRCA1/2-PV carriers were included: 16 631 in the breast cancer risk analysis and 21 425 for analysing ovarian cancer risk. Most studies included both BRCA1-PV and BRCA2-PV carriers, the ages of whom ranged from 18 to 93 years. All studies investigated OCP, with four also evaluating tubal ligation (TL); no other methods of contraception were described. The main study designs were case–control (11 studies) and cohort (8 studies) studies, although one study used a case-only design (Bernholtz et al., 2011). The studies ended the follow-up at the time of the interview, a cancer diagnosis or risk-reducing surgery. Eleven studies had an international focus. The studies were predominantly conducted in the USA or Europe. Crude numbers per study are provided in the Supplementary Data File S2.

Risk of bias and quality of evidence

The risk of bias, according to the ROBINS-I questionnaire, was considered moderate in 15 studies, serious in 4 studies and unclear in 1 study (Table I and Supplementary Data File S3). According to the GRADE framework, the quality of evidence had an a priori ranking of ‘low’ for all outcomes because no randomized designs were included in our analyses. The final quality of evidence was ‘low’ for both the OCP-influenced breast and ovarian cancer risk with studies that used a HR. All other outcomes resulted in a final ranking of ‘very low’. The rankings and reasons for downgrading are provided in Table II.

Table II.

Quality of evidence for all outcomes that have been analysed using a meta-analysis, according to the GRADE framework.

Quality assessment
Number of patients
Effect Quality of evidence
Number of studies Study design A-priori ranking Inconsistency Indirectness Imprecision Other considerations Total BRCA1 BRCA2 Relative (95% CI)
Primary outcomes

Breast cancer risk and the oral contraceptive pill—hazard ratio
7 5 cohort, 1 case–control, 1 case-only Low Not serious Not serious Not serious None 16 631 7525 9106 1.55 (1.36–1.76)
  • ⊕⊝⊝⊝

  • low

Breast cancer risk and the oral contraceptive pill—odds ratio
4 Case–control Low Seriousa Not serious Not serious None 9106 8139 967 1.06 (0.90–1.25)
  • ⊝⊝⊝⊝

  • very low

Ovarian cancer risk and the oral contraceptive pill—hazard ratio
2 Cohort Low Not serious Not serious Not serious None 10 981 7099 3882 0.62 (0.52–0.74)
  • ⊕⊝⊝⊝

  • low

Ovarian cancer risk and the oral contraceptive pill—odds ratio
8 7 case–control, 1 cohort Low Seriousa Not serious Not serious None 10 390* 7640 598 0.49 (0.38–0.63)
  • ⊝⊝⊝⊝

  • very low

Ovarian cancer risk and tubal ligation—hazard ratio
1 Cohort Low Not serious Not serious Seriousb None 3319 2281 1038 0.44 (0.26–0.74)
  • ⊝⊝⊝⊝

  • very low

Ovarian cancer risk and tubal ligation—odds ratio
3 Case-control Low Seriousa Not serious Seriousb None 7691 6393 1298 0.74 (0.53–1.03)
  • ⊝⊝⊝⊝

  • very low


Secondary outcomes

Breast cancer risk and time since last use of the oral contraceptive pill—hazard ratio
2 cohort Low Not serious Not serious Seriousb None 5479 3457 2022 1.40 (1.13–1.73)
  • ⊝⊝⊝⊝

  • very low

Breast cancer risk and time since last use of the oral contraceptive pill—odds ratio
3 case-control Low Seriousa Not serious Not serious None 7750 7443 307 1.38 (1.13–1.68)
  • ⊝⊝⊝⊝

  • very low

GRADE: Grading of Recommendations, Assessment, Development, and Evaluation Working Group.

High quality: further research is very unlikely to change our confidence in the estimate of effect.

Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.

Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.

Very low quality: we are very uncertain about the estimate.

Non-randomized studies have the a-priori ranking ‘low’,

a

downgraded 1 level for inconsistency: moderate or high heterogeneity;

b

downgraded 1 level for imprecision: small studies and/or wide CIs;

*

Total number of participants is higher than the number of BRCA1 plus the number of BRCA2 pathogenic variant carriers, as the studies of Ferris et al., 2014 and Perri et al., 2015 did not specify the number of BRCA1 and BRCA2 pathogenic variant carriers separately.

Impact of contraceptives on breast cancer risk

Data on breast cancer risk were only available for OCP (Table I). Based on the studies that reported a HR for breast cancer risk (n = 7), the risk after using OCP was significantly increased (HR: 1.55; 95% CI: 1.36–1.76) relative to the reference group (never or a maximum of 6 months of OCP use; Table I). For the studies that reported an OR (n = 4), the pooled estimated breast cancer risk was an OR of 1.06 (95% CI: 0.90–1.25) in OCP users compared with the reference group (never or a maximum of 1 year of OCP use; Table I) (Fig. 2). Low to moderate heterogeneity was detected between studies (I2: 0% and 52% for studies reporting HR and OR, respectively). Subgroup analyses for BRCA1-PV versus BRCA2-PV carriers revealed no significant differences in the effect of OCP on their breast cancer risks (test for subgroup differences P =0.54 (studies with HR) and P =0.70 (studies with OR); Supplementary Fig. S1 shows the forest plots). When analysing studies published >10 years ago versus <10 years ago, with the aim of analysing older versus more modern OCP formulations, we identified similar HRs (P =0.74) of 1.48 (95% CI: 1.17–1.88) and 1.56 (95% CI: 1.30–1.88), respectively, and similar ORs (P =0.24) of 1.01 (95% CI: 0.82–1.26) and 1.18 (95% CI: 1.03–1.36), respectively (Supplementary Fig. S2).

Figure 2.

Figure 2.

Forest plots presenting meta-analysis of breast cancer risk as modified by ever use of the OCP. Analysis split on effect size, i.e. studies reporting a HR versus studies reporting an OR. HR: hazard ratio; N: number of participants; OCP: oral contraceptive pill; BRCA-PV: BRCA1/2 pathogenic variant; OR: odds ratio.

Impact of contraceptives on ovarian cancer risk

Ovarian cancer risk data were available for OCP use and TL (Table I). A meta-analysis of the influence of OCP use on ovarian cancer risk revealed a statistically significant risk reduction relative to the reference (never or a maximum of 1 year of OCP use): HR: 0.62 (95% CI: 0.52–0.74) based on two studies including 10 981 women, and OR: 0.49 (95% CI: 0.38–0.63) based on eight studies with 10 390 women (Fig. 3). Heterogeneity was low (I2: 0%) for studies reporting a HR and moderate (I2: 64%) for studies reporting an OR. No differences were observed between BRCA1-PV and BRCA2-PV carriers in the studies that reported a HR (P =0.41) (Supplementary Fig. S3). Among the studies with an OR, we found a difference between the results of studies that did and did not distinguish between BRCA1-PV or BRCA2-PV carriers (P =0.04), but we found no difference for BRCA1-PV versus BRCA2-PV (Supplementary Fig. S3). When analysing studies published >10 years ago versus <10 years ago, we found HRs of 0.65 (95% CI: 0.34–1.21) and 0.64 (95% CI: 0.52–0.80), respectively, and ORs of 0.54 (95% CI: 0.41–0.69) and 0.45 (95% CI: 0.27–0.75), respectively (Supplementary Fig. S4). No significant differences were found between studies published >10 years ago versus <10 years ago (P >0.99 and P =0.55 for studies using HRs and ORs, respectively).

Figure 3.

Figure 3.

Forest plots visualizing the meta-analysis of the influence of ever OCP use on ovarian cancer risk. Analysis split on effect size, i.e. studies reporting a HR versus studies reporting an OR. HR: hazard ratio; N: number of participants; BRCA-PV: BRCA1/2 pathogenic variant; OCP: oral contraceptive pill.

Figure 4 presents the meta-analysis of ovarian cancer risk after TL, revealing that this procedure reduces the risk of ovarian cancer in comparison with BRCA1/2-PV carriers who did not undergo TL: HR: 0.44 (95% CI: 0.26–0.74) and OR: 0.74 (95% CI: 0.53–1.03). Heterogeneity was low (I2: 0%) and moderate (I2: 44%) for studies using a HR or an OR, respectively. The effect of TL on ovarian cancer risk did not notably differ between BRCA1-PV and BRCA2-PV carriers (P =0.85 and P =0.58 for studies reporting HR and OR, respectively) (Supplementary Fig. S5).

Figure 4.

Figure 4.

Forest plots of the meta-analysis of the influence of TL on ovarian cancer risk. Analysis split on effect size, i.e. studies reporting a HR versus studies reporting an OR. HR: hazard ratio; N: number of participants; BRCA-PV: BRCA1/2 pathogenic variant; TL: tubal ligation.

Duration of contraceptive use and cancer risks

Data regarding duration of use and cancer risks were only available for OCP. The risk ratios for developing breast cancer per evaluated time period per study are shown in Table III. Of the 11 studies that investigated breast cancer risk, 8 described the association with duration of OCP use. In one study, breast cancer risk was found to increase with prolonged duration of use (Brohet et al., 2007). Another study reported a higher risk in BRCA2-PV carriers after prolonged use, but not in BRCA1-PV carriers (Haile et al., 2006). Two studies showed varying ratios per time period (Narod et al., 2002; Kotsopoulos et al., 2014). In four studies, duration of use was shown to have no significant effect on breast cancer risk (Gronwald et al., 2006; Rieder et al., 2016; Toss et al., 2017; Schrijver et al., 2018).

Table III.

Outcome data per included study.

Primary outcome
Secondary outcomes
First author, year Contraceptive Risk ratio Risk at cancer for ever-use of contraception
Duration of use
Time since last use
BRCA1 BRCA2 Total BRCA BRCA1 BRCA2 Total BRCA BRCA1 BRCA2 Total BRCA
Studies investigating breast cancer risk

Heimdal, 2002 OCP HR 2.00 (0.36–10.9) . . . . . . . .
Narod, 2002 OCP OR 1.20 (1.02–1.40) 0.94 (0.72–1.24) .
  • Never: 1

  • 0–4y: 1.10 (0.92–1.31)

  • 5–9y: 1.36 (1.11–1.67)

  • 10–14y: 1.27 (0.99–1.64)

  • 15–30y: 1.30 (0.91–1.87)

  • Never: 1

  • 0–4y: 0.90 (0.67–1.20)

  • 5–9y: 0.82 (0.56–1.91)

  • 10–14y: 1.16 (0.75–1.78)

  • 15–30y: 1.35 (0.71–2.56)

.
  • Never: 1

  • Current: 0.83 (0.66–1.04)

  • 1–5y: 1.03 (0.81–1.32)

  • 6–10y: 1.10 (0.87–1.38)

  • >10y: 1.59 (1.30–1.94)

  • Trend: P = 0.05

. .
Gronwald, 2006 OCP OR 0.8 (0.5–1.2) . .
  • Never: 1

  • <2y: 0.9 (0.5–1.5)

  • >2y: 0.8 (0.5–1.4)

. . . . .
Haile, 2006 OCP OR 0.77 (0.53–1.12) 1.62 (0.90–2.92) .
  • Never or <1y: 1

  • 1–4y: 0.68 (0.43–1.08)

  • 5>y: 0.80 (0.54–1.18)

  • Trend per year: not significant

  • Never or <1y: 1

  • 1–4y: 1.16 (0.58–2.34)

  • 5>y: 2.06 (1.08–3.94)

  • Trend per year: 1.08 (P = 0.008)

.
  • Never or <1y: 1

  • <10y: 0.63 (0.42–0.95)

  • ≥10y: 1.00 (0.64–1.57)

  • Trend per year: 1.04 (P = 0.002)

  • Never or <1y: 1

  • <10y: 1.62 (0.91–2.87)

  • ≥10y: 1.92 (0.97–3.82)

  • Trend per year: 1.02 (P = 0.034)

.
Brohet, 2007 OCP HR 1.47 (1.13–1.91) 1.49 (0.8–2.70) 1.47 (1.16–1.87)
  • Never: 1

  • 1–3y: 1.36 (0.99–1.88)

  • 4–8y: 1.51 (1.10–2.08)

  • >9y: 1.63 (1.17–2.29)

  • Never: 1

  • 1–3y: 1.23 (0.64–2.35)

  • 4–8y: 2.27 (1.10–4.65)

  • >9y: 1.47 (0.66–3.28)

  • Never: 1

  • 1–3y: 1.34 (1.00–1.78)

  • 4–8y: 1.59 (1.19–2.13)

  • >9y: 1.61 (1.18–2.20)

  • Trend per year P = 0.257

  • Never: 1

  • <1y: 1.35 (0.94–1.94)

  • 1–10y: 1.56 (1.13–2.14)

  • >10y: 1.50 (1.09–2.05)

  • Never: 1

  • <1y: 1.75 (0.76–4.00)

  • 1–10y: 1.69 (0.80–3.55)

  • >10y: 1.39 (0.73–2.64)

  • Never: 1

  • <1y: 1.39 (1.00–1.94)

  • 1–10y: 1.56 (1.17–2.09)

  • >10y: 1.48 (1.12–1.96)

Bernholtz, 2011 OCP HR 1.715 (1.307–2.251) 2.07 (1.338–3.20) 1.842 (1.465–2.314) . . . . . .
Kotsopoulos, 2014 OCP OR 1.18 (1.03–1.36) . .
  • Never: 1

  • 0 to <5y: 1.14 (0.97–1.35)

  • 5 to <10y: 1.19 (0.99–1.43)

  • 10 to <15y: 1.27 (1.02–1.60)

  • 15 to <30y: 1.23 (0.92–1.65)

  • Trend per year: 1.01 (1.00–1.03)

. .
  • Never: 1

  • Current: 0.80 (0.66–0.97)

  • <5y: 1.42 (1.13–1.77)

  • 5–10y: 1.55 (1.25–1.77)

  • >10y: 1.27 (1.06–1.53)

  • Trend: P = 0.38

. .
Rieder, 2016 OCP HR . . 1.7 (1.1–2.05) . .
  • Trend per year:

  • 1.00 (0.99–1.00)

. . .
Park, 2017 OCP HR 1.24 (0.45–3.40) 0.71 (0.21–2.37) . . . . . . .
Toss, 2017 OCP HR 1.45 (0.65–3.25) . .
  • <10y: 1

  • >10y: 0.78 (0.18–3.34)

. . .
Schrijver, 2018 OCP HR
  • 1.08 (0.75–1.56)

  • 1.75 (1.03–2.97)

.
  • Never or <6m: 1

  • <5y: 1.13 (0.75–1.71)

  • 5–9y: 0.93 (0.60–1.43)

  • 10>y: 1.16 (0.77–1.73)

  • Never or <6m: 1

  • <5y: 1.83 (1.04–3.25)

  • 5–9y: 1.40 (0.75–2.61)

  • 10>y: 1.75 (0.98–3.16)

.
  • Never or <6m: 1

  • <3y: 0.96 (0.60–1.55)

  • 3–10y: 1.14 (0.72–1.80)

  • ≥10y: 1.11 (0.75–1.65)

  • Trend per year: P = 0.30

  • Never or <6m: 1

  • <3y: 1.56 (0.77–3.17)

  • 3–10y: 1.60 (0.78–3.30)

  • ≥10y: 1.77 (1.02–3.06)

  • Trend per year: P = 0.75

.

Studies investigating ovarian cancer risk

Narod, 1998 OCP OR 0.5 (0.3–0.9) 0.4 (0.2–1.1) 0.4 (0.2–0.7) . .
  • Never: 1

  • <3y: 0.4 (0.3–0.9)

  • 3 to <6y: 0.4 (0.1–1.0)

  • 6>y: 0.3 (0.1–0.7)

  • Trend per year: 0.9 (0.9–1.0)

. . .
Narod, 2001 OCP OR 0.48 (0.29–0.80) 0.35 (0.15–0.83) 0.44 (0.28–0.68) . . . . . .
TL OR 0.39 (0.22–0.70) 1.19 (0.38–3.68) . . . . . . .
Whittemore, 2004 OCP OR . . 0.85 (0.53–1.4) . .
  • Never or <1y: 1

  • 1–2y: 1.5 (0.82–2.9)

  • 3–5y: 0.69 (0.33–1.4)

  • 6>y: 0.62 (0.35–1.1)

  • Trend per year: 0.95 (0.91–0.99)

. . .
Gronwald, 2006 OCP OR 0.4 (0.2–1.0) . .
  • Never: 1

  • <2y: 0.8 (0.2–2.5)

  • >2y: 0.2 (0.1–0.7)

. . . . .
Antoniou, 2009 OCP HR 0.52 (0.37–0.73) 1.04 (0.42–2.54) 0.55 (0.40–0.76)
  • Never: 1

  • 0–1y: 1.03 (0.64–1.65)

  • 1–3y: 0.51 (0.28–0.93)

  • 3–5y: 0.40 (0.17–0.91)

  • 5>y: 0.34 (0.21–0.54)

  • Never: 1

  • 0–1y: NA

  • 1–3y: 1.33 (0.52–3.39)

  • 3–5y: NA

  • 5>y: 0.59 (0.16–2.24)

  • Never: 1

  • 0–1y: 1.04 (0.66–1.62)

  • 1–3y: 0.60 (0.35–1.03)

  • 3–5y: 0.41 (0.19–0.87)

  • 5>y: 0.35 (0.22–0.55)

  • Trend per year: P = 0.0003

  • Never: 1

  • current/<10y: 0.28 (0.17–0.48)

  • ≥10y: 0.80 (0.55–1.18)

  • Never: 1

  • current/<10y: 0.38 (0.10–1.45)

  • ≥10y: 1.76 (0.63–4.94)

  • Never: 1

  • current/<10y: 0.29 (0.18–0.48)

  • ≥10y: 0.85 (0.59–1.21)

TL HR 0.42 (0.22–0.80) 0.47 (0.18–1.21) 0.43 (0.24–0.75) . . . . . .
Vicus, 2010a OCP OR 0.63 (0.32–1.26) . .
  • Never: 1

  • <5 y: 0.84 (0.40–1.78)

  • 5>y: 0.47 (0.19–1.14)

  • Trend per year: 0.91 (0.83–0.99)

Trend per year: 0.94 (0.80–1.11) . . . .
TL OR 0.80 (0.3–2.08) . . . . . . . .
Ferris, 2014 OCP OR . . 0.76 (0.44–1.31) . . . . . .
Kotsopoulos, 2015 OCP OR 0.60 (0.50–0.71) 0.63 (0.44–0.92) .
  • Never: 1

  • <1y: 0.82 (0.64–1.05)

  • 1 to <3y: 0.56 (0.41–0.75)

  • 3 to <5y: 0.54 (0.39–0.75)

  • 5>y: 0.50 (0.40–0.63)

  • Never: 1

  • <1y: 1.09 (0.68–1.79)

  • 1 to <3y: 0.62 (0.36–1.08)

  • 3 to <5y: 0.42 (0.22–0.83)

  • 5>y: 0.51 (0.32–0.81)

  • Trend per year:

  • 0.93 (0.90–0.97)

. . .
TL OR 0.89 (0.69–1.13) 0.76 (0.50–1.16) . . . . . . .
Perri, 2015 OCP OR 0.21 (0.14–0.33) 0.24 (0.09–0.61) 0.21 (0.14–0.31) . .
  • Never: 1

  • 1<y: 0.36 (0.16–0.84)

  • 1–5y: 0.31 (0.19–0.51)

  • >5y: 0.10 (0.06–0.17)

. . .
Schrijver, 2021 OCP HR
  • Full cohort:

  • 0.64 (0.50–0.81)

  • Full cohort:

  • 0.66 (0.43–1.00)

.
  • Never/<6m: 1

  • <5y: 0.84 (0.61–1.14)

  • 5–9y: 0.74 (0.53–1.04)

  • 10>y: 0.44 (0.31–0.61)

  • Trend per year: significant

  • Never/<6m: 1

  • <5y: 0.81 (0.46–1.43)

  • 5–9y: 0.62 (0.34–1.14)

  • 10>y: 0.59 (0.35–0.99)

  • Trend per year: non-significant

.
  • Never/<6m: 1

  • <10y: 0.53 (0.37–0.77)

  • 10–19y: 0.70 (0.51–0.95)

  • ≥20y: 0.73 (0.54–1.00)

  • Trend per year: P = 0.113

  • Never/<6m: 1

  • <10y: 0.44 (0.22–0.86)

  • 10–19y: 0.70 (0.39–1.26)

  • ≥20y: 0.76 (0.45–1.26)

  • Trend per year: P = 0.162

.

All data are represented as risk ratio (95% CI).

HR, hazard ratio; m, months; OCP: oral contraceptive pill; OR: odds ratio; TL: tubal ligation; y: years; .: data not available.

Regarding ovarian cancer risk, 8 of the 10 evaluated studies explored the association with duration of OCP use. As shown in Table III, these studies evaluated varying periods of time. Of these eight studies, three found that the longer the OCP use, the lower the risk of ovarian cancer for BRCA1-PV and BRCA2-PV carriers (Narod et al., 1998; Kotsopoulos et al., 2015; Perri et al., 2015). In four other studies, this association was reported to be significant for BRCA1-PV carriers, but not for BRCA2-PV carriers (Gronwald et al., 2006; Antoniou et al., 2009; Vicus et al., 2010a; Schrijver et al., 2021). One study did not split BRCA1/2-PV carriers and found a significant protective trend with prolonged OCP use, but no significant risk reductions when categorizing duration (Whittemore et al., 2004).

Time since last use and cancer risks

OCP use was also described in terms of time since last use. The results of the five studies that reported the time since last OCP use are presented in Table III. A meta-analysis revealed a HR of 1.40 (95% CI: 1.13–1.73) and an OR of 1.38 (95% CI: 1.13–1.68) for developing breast cancer more than 10 years since the last use of OCP compared with having never used OCP (Supplementary Fig. S6), with no significant differences between BRCA1-PV and BRCA2-PV carriers (P =0.47 and P =0.32 for studies with HR and OR, respectively).

Two studies reported on ovarian cancer risks as influenced by the time since the last use of OCP (Antoniou et al., 2009; Schrijver et al., 2021). Both found that the reduced risk of ovarian cancer vanished with increasing time since last OCP use, whether after 10 years (Antoniou et al., 2009) or 20 years (Schrijver et al., 2021) (Table III).

Guidelines

A total of 132 national societies for gynaecologists and obstetricians were listed on the FIGO website in June 2021, of which 34 societies were founded in a nation with a developed economy, as determined by the United Nations. Four internationally collaborative societies were added, as was one society in which two nations (Australia and New Zealand) collaborate, resulting in 37 societies with 50 potentially eligible guidelines. Guidelines were excluded because they were either about BRCA or contraceptives but not both topics (n = 22), due to language (n = 11) or because they were unavailable (n = 5). Twelve guidelines from six nations met the inclusion criteria. We also searched for relevant guidelines written for general practitioners in these six nations and found two additional guidelines; thus, a total of 14 guidelines were included.

Table IV presents the recommendations of each guideline. As shown, most guidelines recommend (individualized) counselling about cancer risks when discussing contraception with BRCA1/2-PV carriers. One guideline stands out as it describes an absolute contraindication for hormonal contraception in BRCA1/2-PV carriers aged 35 years or older, and a relative contraindication for carriers aged 25 to 35 years (Barnhoorn, 2020).

Table IV.

Overview of current guidelines regarding contraception in BRCA1/2-PV carriers.

Country, society Guideline Year Recommendations/summary Conclusion
1 Slovakia, SAGO Guidelines for complex genetic analysis of hereditary breast ovarian cancer syndrome in Slovak population 2015
  • – Hormonal contraception is not necessarily contraindicated in carriers of a mutation; however, the benefits need to be considered.

Not contra-indicated

2 The Netherlands, NVOG Erfelijk en familiair ovariumcarcinoom (in English: Hereditary and familial ovarian carcinoma) 2015
  • – No reason to advise against OCP in healthy women with a BRCA1/2 mutation aged 25 years or below

  • – Data regarding LR-IUD and the risk of breast cancer in healthy BRCA1/2 mutation carriers is lacking, therefore no statement can be made on the safety of these IUDs in this specific group

  • – There is some data showing that the use of LR-IUD after breast cancer does not increase the risk of recurrence of breast cancer.

Not contra-indicated

3 USA, AGOC US Medical Eligibility Criteria for Contraceptive Use 2016
  • – Evidence does not suggest that the increased risk for breast cancer among women with either a family history of breast cancer or breast cancer susceptibility genes is modified by the use of combined oral contraceptives.

Not contra-indicated

4 Spain, SEGO Clinical guidelines in hereditary breast and ovarian cancer 2016
  • – Oral contraceptives in BRCA1/2 mutation carriers can reduce the risk of ovarian cancer by 50%, with the benefit being greater with longer duration of treatment. Their use is not contraindicated, although there is a possibility of an increased risk of breast cancer.

Not contra-indicated

5 Canada, SOGC Canadian Contraception Consensus 2017 The use of combined oral contraception in BRCA1/2 carriers is controversial but appears to be associated with a decreased risk of ovarian cancer and no increase in the risk of breast cancer
  • – Women with a history of breast cancer >5 years ago: benefit for expert consultation prior to advising against contraceptive use

  • – In general: adequate counselling prior to OCP initiation to ensure an informed choice and improve adherence and continuation

Ambivalent, counsel

6 United Kingdom, NICE* Surveillance proposal for BRCA 2017
  • – Women <35 years with a family history of breast cancer: in keeping with general health advice on the use of the OCP

  • – Women >35 years with a family history of breast cancer: inform on an increased breast cancer risk associated with taking the OCP, and that their absolute risk increases with age

  • BRCA1 carriers: conflicting effects of a potential increased risk of breast cancer under the age of 40 years and the lifetime protection against ovarian cancer risk from taking the OCP should be discussed

  • – The OCP should not be prescribed purely for prevention of cancer

Ambivalent, counsel

7 USA, ACOG Clinical management guidelines for Obstetrician-Gynecologists: Hereditary Breast and Ovarian Cancer Syndrome 2017
  • – Given the magnitude of the potential benefits (e.g. ovarian and endometrial cancer risk reduction, pregnancy, prevention, cycle regulation), it is appropriate for women with mutations in BRCA1 or BRCA2 to use oral contraceptives if indicated, and use for cancer prophylaxis is reasonable. Although there have been conflicting reports in the literature on the effect of oral contraceptives on breast cancer risk.

  • – In high-risk women who are undergoing tubal sterilization for contraception, bilateral salpingectomy followed by future oophorectomy may be a reasonable option to offer, but ovarian cancer risk reduction remains under evaluation.

Not contra-indicated

8 Canada, SOGC Gynaecologic management of hereditary breast and ovarian cancer 2018
  • – Combined hormonal contraceptive use is an effective method of chemoprevention for ovarian/tubal/peritoneal cancer in the general population and women with BRCA1/2.

  • – The use of OCP in young BRCA1 variant carriers should be individualized, taking into account the risks and benefits.

Ambivalent, individualize
9 United Kingdom, FSRH Guideline-combined-hormonal-contraception 2019
  • – Amongst BRCA carriers, use of OCPs is associated with reduced risk of ovarian cancer with use, proportional to the duration of use. The evidence is stronger for BRCA1 carriers but exists for both BRCA1 and BRCA2. This advantage would need to be weighed against the potential increased risk of breast cancer.

  • – Women with a BRCA mutation should be advised that current use of combined hormonal contraception is associated with a small increased risk of breast cancer which reduces with time after stopping combined hormonal contraception.

Ambivalent, counsel

10 United Kingdom, FSRH UK Medical Eligibility Criteria (UKMEC) for contraceptive use 2019 Carriers of a known gene mutations associated with breast cancer (e.g. BRCA1/BRCA2):
  • – Copper IUD: no restriction for use

  • – LR-IUD, progestogen-only-implant, medroxyprogesterone acetate, progestogen-only-pill, combined hormonal contraception: the advantages generally outweigh the theoretical or proven risks

Not contra-indicated

11 USA, NCCN Genetic/familial high-risk assessment: Breast and ovarian cancer 2019
  • – The use of oral contraceptives significantly reduced the risk of ovarian cancer by approximately 50% for both the BRCA1 and BRCA2 mutation carriers. Studies on the effects of oral contraceptive use on breast cancer risk among BRCA1/2 mutation carriers have reported conflicting data.

No advice reported

12 The Netherlands, NHG* Anticonceptie (in English: Contraception) 2020
  • BRCA ≥35 years: absolute contra-indication for hormonal contraceptives

  • BRCA 25-35 years: relative contra-indication for hormonal contraceptives

  • – BRCA <25 years: no contra-indication for hormonal contraceptives

Contra-indicated, depending on age

Collaborative societies

13 WHO Medical eligibility criteria for contraceptive use 2015 Women with a family history of cancer or with breast cancer susceptibility genes (such as BRCA1 and BRCA2):
  • – Combined oral contraceptive, combined contraceptive patch, vaginal ring or injectable contraceptive: no restriction for use

Not contra-indicated

14 EMSO Prevention and screening in BRCA mutation carriers 2016
  • – The use of the OCP may be considered as a risk-reducing measure for ovarian cancer. It should however be noted that there are conflicting data whether OCP increases breast cancer risk among BRCA1/2 carriers

Not contra-indicated
*

Guideline of the society of general practitioners.

LR-IUD: levonorgestrel releasing intra-uterine device; OCP: oral contraceptive pill.

Discussion

Main findings

In this systematic review using meta-analyses, we investigated the impact of contraceptive use on breast and ovarian cancer risk among BRCA1/2-PV carriers. Regarding breast cancer risk, the data were limited to the OCP, and the results were heterogenous between the reported outcome measures: breast cancer risk was either increased (HR: 1.55, 95% CI: 1.36–1.76) or unaffected (OR: 1.06, 95% CI: 0.90–1.25) by use of the OCP. This increased breast cancer risk was even found 10 years after the last OCP use; however, no clear association was identified between breast cancer risk and duration of OCP use. By contrast, OCP use reduced ovarian cancer risk, with a HR of 0.62 (95% CI: 0.52–0.74) and an OR of 0.49 (95% CI: 0.38–0.63), and longer usage of OCP might lower ovarian cancer risk. These beneficial effects seem to vanish over time following the cessation of OCP use, however. TL was found to decrease ovarian cancer risk as well, with a HR of 0.44 (95% CI: 0.26–0.74) and an OR of 0.74 (0.53–1.03). The impacts of these contraceptives on cancer risks were similar for BRCA1-PV and BRCA2-PV carriers. No data were available regarding other types of contraception and their effects on cancer risks in BRCA1/2-PV carriers.

Interpretation

The impact of contraceptives on cancer risks has been investigated for some time, and previous systematic reviews and meta-analyses have been published about their effects on the BRCA1/2-PV population (Cibula et al., 2010, 2011a,b; Iodice et al., 2010; Rice et al., 2012; Friebel et al., 2014; Huber et al., 2020). Our study is the most up to date, however, and is based on the largest sample sizes thus far. We also summarized the evidence using meta-analyses, in contrast to some others (Cibula et al., 2010; Moorman et al., 2013; Huber et al., 2020). Furthermore, unlike previous meta-analyses, we specifically searched for contraceptive methods in our systematic search, instead of factors influencing cancer risks in general (Friebel et al., 2014). We did not restrict our search strategy to either OCP or TL, as others have done (Iodice et al., 2010; Cibula et al., 2011a,b; Rice et al., 2012; Huber et al., 2020). Despite these differences, the results of the previous reviews and meta-analyses are highly comparable to ours. Moreover, the preventive effect of OCP on ovarian cancer risk was consistently found in the previous meta-analyses (Iodice et al., 2010; Cibula et al., 2011b; Moorman et al., 2013; Friebel et al., 2014), and the results from meta-analyses regarding TL and the reduced ovarian cancer risk were consistent with ours (Cibula et al., 2011a; Rice et al., 2012; Friebel et al., 2014). Regarding breast cancer risk, the results of earlier meta-analyses are less consistent. Some studies revealed differing results between outcome measures and across study designs, similar to our findings (Cibula et al., 2011b; Friebel et al., 2014). Others found no statistically significant effect of OCP on breast cancer risk (Iodice et al., 2010; Moorman et al., 2013), which might be explained by the variation in the included study populations.

The negative impact of OCP on breast cancer risk and the beneficial effect on ovarian cancer risk identified here in BRCA1/2-PV carriers are similar to previous findings in the general population (Beral et al., 2008; Mørch et al., 2017); however, the impact on cancer risks may be more clinically relevant for people who already have a high risk of cancer, such as BRCA1/2-PV carriers, although this is personal. One patient might want to avoid every additional risk, while another one might question the relevance of additional increased risk when the baseline risk of breast cancer is already as high as ∼70% (Kuchenbaecker et al., 2017). Importantly, as we investigated risk ratios, the increase in absolute percent points will be higher in case of a high baseline risk than in case of a low baseline risk. Regarding ovarian cancer, reliable screening is unavailable, and mortality rates are high as it is generally diagnosed at an advanced stage (Oei et al., 2006; Siegel et al., 2019). This might favour the usage of OCP among high-risk women, but the advice to undergo a risk-reducing salpingo-oophorectomy around the age of 40 years (and its high uptake) may reduce the relevance of the beneficial effect of OCP use (Harmsen et al., 2016; Metcalfe et al., 2019). Furthermore, BRCA1/2-PV carriers can choose to undergo a risk-reducing mastectomy, the uptake of which varies greatly across cultures (Metcalfe et al., 2019). After mastectomy, which greatly reduces breast cancer risk by at least 90–95% (Rebbeck et al., 2004; Heemskerk-Gerritsen et al., 2019), the influence of OCP on breast cancer risk may be negligible. Previous risk-reducing surgeries should therefore be taken into account in the contraceptive advice for BRCA1/2-PV carriers. In other cases, the use of contraceptives might influence breast cancer management strategies; for example, OCP might increase breast density, as was previously described for hormone replacement therapy, although the data are inconsistent (van Barele et al., 2021; Evans, 2002; Lundström et al., 2002). Higher breast density negatively affects the evaluability of imaging techniques. Furthermore, magnetic resonance imaging (MRI) is aimed to be performed between Days 5 and 15 of the menstrual cycle of premenopausal women to optimize evaluability; thus, the optimal timing of an MRI can be challenging in non-menstruating women, for example when using an LR-IUD.

Other factors to be included in counselling are age, reversibility of contraception and whether contraceptives have been used already (e.g. is stopping/switching indicated?). Moreover, the benefit of adequate contraception could be considered to outweigh the very low risk of developing a certain type of cancer at a young age (<25 years). Because of the protective effect of TL on ovarian cancer risk, this might be the optimal approach to combine contraception with ovarian cancer prevention; however, TL is not suitable for young women who have (latent) child wish because it is irreversible. For women who have already been using contraceptives, it is important to include the effect of prolonging contraceptive use on cancer risks in counselling, which was also concluded in a recent investigation in which absolute cancer risks as influenced by OCP were estimated in a hypothetical cohort of BRCA1/2-PV carriers (Schrijver et al., 2022). We found that, with increasing time since last OCP use, the preventive effect on ovarian cancer disappears, whereas the increased breast cancer risk remains for more than 10 years after last use.

We should take into account that women who stopped OCP more than 10 years ago are potentially older than those who have never used these contraceptives, and that the formulation of OCPs has changed over time (lower hormonal dosages, different steroid types). An earlier meta-analysis suggested that breast cancer risk is lower in users of newer OCP formulations (after 1975) than those who used OCPs formulated before 1975 (Iodice et al., 2010). Regarding ovarian cancer risk, Schrijver et al. (2021) reported a reduced ovarian cancer risk for BRCA1-PV carriers using OCP formulations initiated before 1975 and no significant effect for formulations initiated after 1975, compared with the risk for women who had never used these OCPs. For BRCA2-PV carriers, a pre-1975 initiation did not significantly reduce ovarian cancer risk, whereas a post-1975 initiation did, compared with those who never used these OCPs (Schrijver et al., 2021). We also evaluated the effect of modernity of OCP on cancer risks in the present study. As OCP formulations were poorly described in the individual studies, we performed analyses with studies published more than 10 years ago versus those published in the last 10 years, in which we found consistent results as those obtained in the analyses of all studies combined. The lack of clear data regarding age at first or last use and formulation of OCP may be one explanation for the remaining increased breast cancer risk after the cessation of OCP use. Additional research regarding the potential impact of changing formulations over time is therefore needed.

Both OCP and TL reduce ovarian cancer risk, but the underlying aetiology remains unclear. One hypothesis is that ovarian cancer risk increases with increasing numbers of ovulations, which is counteracted by the prevention of ovulation by OCPs (Fathalla, 1971, 2013). The hypothesis that (serous) ovarian cancer originates in the fallopian tubes is increasingly accepted (Piek et al., 2001; Labidi-Galy et al., 2017). Potentially, the traumatized ovarian surface epithelium (as during ovulation) is more prone to the attachment of premalignant cells from the fallopian tube, which may then undergo further malignant transformation on the ovary. The preventive effect of TL might support the hypothesis of a central role for the fallopian tube in the origin of ovarian cancer as well; for example, TL may act as a mechanical barrier against malignant or premalignant cells moving from the tubes towards the ovaries (Cibula et al., 2011a; Rice et al., 2012). One study investigated the impact of contraceptives on premalignant lesions of ovarian cancer and found no significant association between either OCP or TL on either p53 signatures or on tubal intraepithelial carcinogenic lesions (Vicus et al., 2010b). Further hypotheses regarding TL preventing ovarian cancer include: the inhibition of retrograde menstruation (Cibula et al., 2011a; Rice et al., 2012); a decreased blood flow towards the ovaries, which could alter the levels of growth factors and hormones (Cramer and Xu, 1995; Riman et al., 1998; Cibula et al., 2011a); the inhibition of the spread of infections from the external genitalia upwards (Cibula et al., 2011a; Rice et al., 2012); and TL surgery enabling the removal of suspicious ovarian tissue. These theories may apply to salpingectomy as well. Nowadays, most gynaecologists perform salpingectomy instead of TL as a surgical sterilization method. Of the four studies included in the meta-analysis of TL, one stated that it focussed on the tying of the fallopian tubes (Kotsopoulos et al., 2015), while the others did not specify whether the sterilization included salpingectomy (Narod et al., 2001; Antoniou et al., 2009; Vicus et al., 2010a). In the general population, salpingectomy was found to be more effective than sterilization (TL) in reducing ovarian cancer risk (Falconer et al., 2015). Based on the findings of Falconer et al. (2015) and the pathogenesis of (serous) ovarian cancer in which the fimbriated ends seem crucial (Labidi-Galy et al., 2017), it is possible that, among BRCA1/2-PV carriers, salpingectomy might be more effective than TL in reducing ovarian cancer risk. Currently, salpingectomy is being investigated as a method to reduce ovarian cancer risk in BRCA1/2-PV carriers in ongoing trials (NCT04294927, ISRCTN 25173360, NCT04251052).

Data were unavailable regarding the impact of other contraceptive methods (e.g. copper IUD, LR-IUD, transdermal contraceptive patch, vaginal ring, contraceptive injection, progestogen-only contraceptive pill and contraceptive implant) on cancer risks among women at high inherited risk for breast and ovarian cancer at the time we performed our systematic search. Nevertheless, in early 2022, the first study that investigated progestin only contraceptives including the implant, the injection and the IUD among BRCA1/2-PV carriers was published (Xia et al., 2022), revealing a preventive effect of the implant on ovarian cancer risk but no significant effects on ovarian cancer risk were found for the injection, the hormonal IUD and the non-hormonal IUD. As we found comparable results in the general population and the BRCA1/2-PV population regarding OCP and TL, one could imagine that other contraceptives may similarly impact cancer risks as well (Madsen et al., 2015; Mørch et al., 2017). For the general population, data regarding breast cancer risk and other contraceptives are available; an increased RR of breast cancer was found for the LR-IUD and the levonorgestrel-only pill, whereas no significant influence was found for the contraceptive patch, vaginal ring, contraceptive injection and contraceptive implant (Mørch et al., 2017; Conz et al., 2020). Regarding ovarian cancer risk, the use of an IUD (both copper-bearing and levonorgestrel-releasing) or a contraceptive implant was found to be protective (Urban et al., 2012; Wilailak et al., 2012; Wheeler et al., 2019; Balayla et al., 2021; Phung et al., 2021). To fully counsel BRCA1/2-PV carriers about the contraceptive options, data regarding the impact of contraceptive methods other than OCP and TL on cancer risks in the BRCA1/2-PV population are needed.

For clinical practice, it would be interesting to translate our outcomes into absolute risks. However, we should be aware that for both the HR and the OR this is difficult. The HR corresponds to different RRs at different time points and the OR represents the ratio of cumulative risks (expressed as odds) at a certain timepoint and those timepoints as well as the ages of the participating women vary across studies. Also, data regarding the risk of breast and ovarian cancer in women without contraceptives are unclear as earlier studies that calculated cumulative lifetime risks of breast and ovarian cancer among BRCA1/2-PV carriers do not provide information about whether those women did or did not use contraceptives (Kuchenbaecker et al., 2017; Chen et al., 2020). It is highly likely that the populations included in those studies consist of a mixture of users and non-users. Taking into account those limitations, our results suggest that compared to a breast cancer risk of 70% for BRCA1/2-PV carriers in general (Kuchenbaecker et al., 2017), the breast cancer risk in those who used OCP lies between 68% and 75% based on our OR, and between 76% and 80% based on our HR. Regarding ovarian cancer, overall, BRCA1-PV carriers have a risk of 44% (Kuchenbaecker et al., 2017); based on our OR, this risk would be between 23% and 33% for OCP users and based on our HR between 29% and 37%. Compared to the risk of 17% in BRCA2-PV carriers in general (Kuchenbaecker et al., 2017), for OCP users, a risk between 7% and 11% (based on OR) or between 10% and 13% (based on HR) would be suggested. For TL and ovarian cancer risk, compared to the overall risk of 44% for BRCA1-PV carriers, TL would result in a risk between 29% and 45% based on our OR, or between 17% and 37% based on our HR. Compared to the risk of 17% for BRCA2-PV carriers, our OR suggest that TL leads to a risk between 10% and 17% and our HR suggest a risk between 5% and 13%.

Strengths and limitations

The main strengths of our study include the large number of more than 38 000 BRCA1/2-PV carriers and the performance of meta-analyses, which heighten the level of evidence. We also broadly investigated cancer risks and current recommendations across nations by providing an overview of all relevant international guidelines. In contrast to most previous studies, we did not limit our research to certain types of contraceptives, and we investigated both breast and ovarian cancer risk. Unfortunately, data regarding the formulations of OCPs were unavailable in most of the included studies. The wide variety in age of the included women, and therefore probably the variety of OCP formulations used, may have influenced our results, as OCPs prescribed between the 1960s and 1990s were significantly different from the OCPs used today. We tried to increase the generalizability to modern OCP formulations by conducting additional analyses with studies published >10 years ago versus <10 years ago. Due to the retrospective design of the majority of the included studies, recall and survival bias may influence our results. Furthermore, the analysis of the association between duration of use and cancer risks was limited due to the availability of aggregate data only, as well as the heterogeneity in the way duration of use was categorized across studies. For the same reasons, we were also unable to provide age- or dosage-related effects.

Conclusion

In conclusion, among BRCA1/2-PV carriers, breast cancer risk was found to be increased by OCP usage compared with those who had never used these contraceptives, with the risk remaining increased for more than 10 years after cessation of use. Ovarian cancer risk was lower among OCP users, but this effect vanishes after cessation of use. TL protects against ovarian cancer. No data are available for other kinds of contraceptives. We should be aware that OCP formulations have changed with time, and we will not know the safety profile of newer OCP formulations for a few years yet. Counselling BRCA1/2-PV carriers regarding contraceptives should be personalized, balancing both genetic and non-genetic individual risk factors (such as prior risk-reducing surgeries, prior breast cancer and age), as well as taking into account patients’ preferences (such as reversibility, ease of use, reliability and effect on the menstrual cycle). To optimize counselling and provide clear recommendations for women at high risk for breast and ovarian cancer, future (prospective) research should focus on other (commonly used) contraceptive methods and cancer risks in this specific population.

Supplementary data

Supplementary data are available at Human Reproduction Update online.

Supplementary Material

dmac038_Supplementary_Data

Acknowledgements

We thank the Radboud medical library for their assistance in the systematic database search.

Authors’ roles

All authors critically revised the manuscript and provided final approval of the version to be published. M.H.D.v.B. and G.V. performed the data collection and critical appraisal. M.H.D.v.B. wrote the original draft of the manuscript. M.H.D.v.B. and J.I. were involved in analysing the data. M.H.D.v.B., J.I., C.M.K., J.A.d.H., A.M.v.A. and M.G.H. contributed to the study design and data interpretation. M.G.H. supervised the study.

Funding

This work was not supported by any kind of funding.

Conflict of interest

The authors declare no conflicts of interest.

Contributor Information

Majke H D van Bommel, Department of Obstetrics and Gynaecology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.

Joanna IntHout, Department for Health Evidence, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.

Guus Veldmate, Department of Obstetrics and Gynaecology, Gelderse Vallei Hospital, Ede, the Netherlands.

C Marleen Kets, Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.

Joanne A de Hullu, Department of Obstetrics and Gynaecology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.

Anne M van Altena, Department of Obstetrics and Gynaecology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.

Marline G Harmsen, Department of Obstetrics and Gynaecology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.

Data availability

The data underlying this study are available in the article and in its online supplementary material. Further supportive material is available upon reasonable request to the corresponding author.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

dmac038_Supplementary_Data

Data Availability Statement

The data underlying this study are available in the article and in its online supplementary material. Further supportive material is available upon reasonable request to the corresponding author.


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